Superiorization methodology and perturbation resilience of inertial proximal gradient algorithm with application to signal recovery

In this paper, we construct a novel algorithm for solving non-smooth composite optimization problems. By using inertial technique, we propose a modified proximal gradient algorithm with outer perturbations, and under standard mild conditions, we obtain strong convergence results for finding a soluti...

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Veröffentlicht in:	The Journal of supercomputing 2020-12, Vol.76 (12), p.9456-9477
Hauptverfasser:	Pakkaranang, Nuttapol, Kumam, Poom, Berinde, Vasile, Suleiman, Yusuf I.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Compilers Computer Science High Performance Computing in Science and Engineering - CMMSE-2019 Interpreters Optimization Perturbation Processor Architectures Programming Languages Recovery Resilience Signal reconstruction
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